Abstract

This paper is a study on the window commander recognition system. The applied recognition algorithm is a one‐stage/DP with DMS(dynamic multisection) model which generates a reference pattern and recognizes 60 commanders in Windows 95. From the results of experiments, the optimal recognition considering a tradeoff of real time is obtained by applying a DMS model with 20 section and 13 order PLP coefficients for feature parameter. The whole system is constructed by a soundblast card within an IBM‐PC/586. After the commander is recognized, the commander is processed automatically. The references are made by five male speakers in a noisy laboratory environment. The recognition experiment is performed for 60 different commanders and the recognition rate was 96.2% in multispeaker independent.